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Liangming Pan

56 papers · 2017–2026 · 9 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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Papers

LEDOM: Reverse Language Model ACL 2026 Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures ACL 2026 Towards Intrinsic Interpretability of Large Language Models: A Survey of Design Principles and Architectures ACL 2026 AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge ACL 2025 Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve Framework ACL 2025 CausalEval: Towards Better Causal Reasoning in Language Models NAACL 2025 Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning AAAI 2025 ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models EMNLP 2025 GΓΆdel Agent: A Self-Referential Agent Framework for Recursively Self-Improvement ACL 2025 How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark EMNLP 2025 InductionBench: LLMs Fail in the Simplest Complexity Class ACL 2025 Investigating the Transferability of Code Repair for Low-Resource Programming Languages NAACL 2025 RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios ACL 2025 SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation ACL 2025 TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning NAACL 2025 AKEW: Assessing Knowledge Editing in the Wild EMNLP 2024 A Survey on Detection of LLMs-Generated Content EMNLP 2024 Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers EMNLP 2024 Faithful Logical Reasoning via Symbolic Chain-of-Thought ACL 2024 Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models ACL 2024 MMLONGBENCH-DOC: Benchmarking Long-context Document Understanding with Visualizations NeurIPS 2024 Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion ACL 2024 MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate EMNLP 2024 Position: AI/ML Influencers Have a Place in the Academic Process ICML 2024 Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement ACL 2024 SciAgent: Tool-augmented Language Models for Scientific Reasoning EMNLP 2024 The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models ACL 2024 Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution ACL 2024 Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation ICML 2024 Attacking Open-domain Question Answering by Injecting Misinformation IJCNLP 2023 Doolittle: Benchmarks and Corpora for Academic Writing Formalization EMNLP 2023 Fact-Checking Complex Claims with Program-Guided Reasoning ACL 2023 FollowupQG: Towards information-seeking follow-up question generation IJCNLP 2023 INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback EMNLP 2023 Investigating Zero- and Few-shot Generalization in Fact Verification IJCNLP 2023 Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning EMNLP 2023 MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models EMNLP 2023 Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation ACL 2023 On the Risk of Misinformation Pollution with Large Language Models EMNLP 2023 QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking EMNLP 2023 SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables EMNLP 2023 Automatic True/False Question Generation for Educational Purpose NAACL 2022 CoHS-CQG: Context and History Selection for Conversational Question Generation COLING 2022 Interpreting the Robustness of Neural NLP Models to Textual Perturbations ACL 2022 KHANQ: A Dataset for Generating Deep Questions in Education COLING 2022 KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base ACL 2022 Unsupervised Multi-hop Question Answering by Question Generation NAACL 2021 Zero-shot Fact Verification by Claim Generation ACL 2021 Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen ACL 2020 Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment EMNLP 2020 Exploring Question-Specific Rewards for Generating Deep Questions COLING 2020 Hyperbolic Visual Embedding Learning for Zero-Shot Recognition CVPR 2020 Semantic Graphs for Generating Deep Questions ACL 2020 Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network AAAI 2020 Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation IJCNLP 2017 Prerequisite Relation Learning for Concepts in MOOCs ACL 2017